code: def _sum_of_squares(a, axis=0):
      """
      Squares each element of the input array, and returns the sum(s) of that.
      Parameters
      ----------
      a : array_like
          Input array.
      axis : int or None, optional
          Axis along which to calculate. Default is 0. If None, compute over
          the whole array `a`.
      Returns
      -------
      sum_of_squares : ndarray
          The sum along the given axis for (a**2).
      See also
      --------
      _square_of_sums : The square(s) of the sum(s) (the opposite of
      `_sum_of_squares`).
      """
      return da.sum(a * a, axis)
  
imports: from __future__ import annotations
  import math
  from collections import namedtuple
  import numpy
  import dask.array
  from dask import delayed
  from dask.array.ufunc import wrap_elemwise
  from dask.utils import derived_from
  from scipy import special
  from scipy.stats import distributions
label_desc: Use image node_id 18 for calling a global function with example usage: _sum_of_squares(a, axis) and returns: da